Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling - Tapa blanda

Keith, Timothy Z.; Reynolds, Matthew; Caemmerer, Jacqueline

 
9781032520971: Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling
Tapa blanda
ISBN 10: 1032520973 ISBN 13: 9781032520971
Editorial: Routledge, 2025

Sinopsis

Multiple Regression and Beyond provides a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with related analyses. By emphasizing the concepts and purposes of MR rather than the derivation and calculation of formulas, this book presents the material in a clearer and more accessible way. This approach not only covers essential coursework but also makes it more approachable for students, increasing the likelihood that they will conduct research using MR or SEM effectively and wisely.

This book covers both MR and SEM, explaining their relevance to each other. It also includes path analysis, confirmatory factor analysis, and latent growth modeling, incorporating real-world research examples throughout the chapters and end-of-chapter exercises. Figures and tables are used extensively to illustrate key concepts and techniques.

This new edition includes:

  • New sections on quantile regression, statistical suppression, contrast coding, and random intercept panel models
  • Support for the statistical program R and the R package lavaan in the text and on the website (www.tzkeith.com)
  • New examples and exercises
  • Updated instructor and student online resources (www.tzkeith.com)

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Timothy Z. Keith is Professor Emeritus at the University of Texas, Austin. Before retiring he was director of the graduate school psychology program (now school and clinical child psychology) in the Department of Educational Psychology. His research focused on the nature and measurement of intelligence, including the validity of tests of intelligence and the theories from which they are drawn.

Matthew R. Reynolds is Professor of Educational Psychology at the University of Kansas. His research focuses on the measurement and structure of human cognitive abilities and on sex differences in cognitive abilities and academic achievement.

Jacqueline M. Caemmerer is an Assistant Professor in the Department of Educational Psychology (school psychology graduate programs) at the University of Connecticut. Her research interests are in psychological assessment and validity issues. She is interested in better understanding what frequently used tests measure, their predictive validity, and developmental and cultural considerations of tests.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Routledge
Año de publicación
2025
Idioma
Inglés
ISBN 10 
1032520973
ISBN 13 
9781032520971
Encuadernación
Tapa blanda
Número de edición
4
Número de páginas
712
Contacto del fabricante
no disponible
Persona responsable
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Otras ediciones populares con el mismo título

9781032520957: Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling

Edición Destacada

ISBN 10:  1032520957 ISBN 13:  9781032520957
Editorial: Routledge, 2025
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